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BUS 232

Two groups. A real difference?

Compare means, matched pairs and proportions. Choose the right test, measure the uncertainty, and explain what the evidence says.

Independent means · known spread · Step 1 of 22

Start with how the data were collected

DesignWhat to compare
Unrelated groups; known σDifference of means → z
Unrelated groups; equal unknown variancesDifference of means → pooled t
Unrelated groups; unequal unknown variancesDifference of means → Welch t
Matched observationsWithin-pair differences → paired t
Yes/no in two groupsDifference of proportions → z
Highlighted row: chosen design
We compare two population means or two proportions. Independent samples contain unrelated observations across the groups. Paired samples connect each first observation to one second observation, often the same person before and after. Having equal sample sizes alone does not create pairs.
Try it: Switch between unrelated groups and the same people measured twice.
How were observations collected?
Choose the method from the design and assumptions before looking at the p-value.
Check yourself
Two different classes each have 25 students. Are their test scores automatically paired?

Two-sample tests still feel hard to tell apart?

Bring your problem sets. We work through them together until every type feels routine.

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